Ecological health assessment of riparian zone of Yangtze River based on trapezoid cloud model in Jiangsu Province, China

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Ecological Indicators Pub Date : 2024-11-09 DOI:10.1016/j.ecolind.2024.112796
Yangyang Lu , Gongxian Fang , Mingjiang Deng , Guohua Fang , Zihan Zhu , Changran Sun , Zitong Yang
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Abstract

In recent years, the ecological service functions of riparian zones have been destroyed owing to human activities. To perform scientific territorial spatial planning and ecological restoration of the riparian zone, there is an urgent need to develop a targeted evaluation index system and method for riparian zone ecological health. By analyzing the relationship between the riparian zone ecological health, river ecosystems, and human social well-being, the ecological health connotation of the riparian zone was analyzed, and an evaluation index system of riparian ecological health was established based on the pressure-state-response model. To address the problems of randomness and fuzziness in the riparian ecological health assessment process, a riparian ecological health assessment model based on the trapezoid cloud model was established by combining the weights obtained from the improved order relation analysis method with the degree of index certainty obtained from the trapezoid cloud model. The riparian zone of the Yangtze River in Jiangsu Province, China, was selected for the evaluation and analysis. The results show that: (1) the ecological health of the riparian zone in the study area was affected by multiple stress factors, such as urban expansion, port and industrial layout, and agricultural cultivation; however, the land-use change pressure was alleviated in the past 10 years; (2) compared with the traditional order relation method and cloud model, the combination of the improved order relation analysis method and trapezoid cloud model showed higher rationality and applicability; and (3) according to the evaluation results, PEH, SEH, REH, and EH in the study area showed a significant improvement trend from 2013 to 2023. The regions rated as “Weak” and “ Relatively Weak” are mainly concentrated in the areas along the Yangtze River, such as Nanjing, Zhenjiang and Yangzhou, and the areas around the Yangtze River estuary. These regions face greater ecological pressure owing to intensive heavy chemical industries, and there is an urgent need to develop corresponding ecological management and restoration countermeasures.
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基于江苏省梯形云模型的长江河岸带生态健康评估
近年来,由于人类活动的影响,河岸带的生态服务功能遭到破坏。为进行科学的国土空间规划和河岸带生态修复,迫切需要制定有针对性的河岸带生态健康评价指标体系和方法。通过分析河岸带生态健康与河流生态系统、人类社会福祉之间的关系,解析河岸带生态健康内涵,建立基于压力-状态-响应模型的河岸带生态健康评价指标体系。针对河岸生态健康评价过程中存在的随机性和模糊性问题,结合改进阶次关系分析法得到的权重和梯形云模型得到的指标确定度,建立了基于梯形云模型的河岸生态健康评价模型。选取中国江苏省长江河岸带进行评价分析。结果表明(1)研究区河岸带的生态健康受到城市扩张、港口和工业布局、农业种植等多重压力因素的影响,但近 10 年来土地利用变化压力有所缓解;(2)与传统的阶次关系法和云模型相比,改进的阶次关系分析法与梯形云模型的组合具有更高的合理性和适用性;(3)根据评价结果,研究区的 PEH、SEH、REH 和 EH 在 2013 至 2023 年间呈显著改善趋势。被评为 "较弱 "和 "相对较弱 "的地区主要集中在南京、镇江、扬州等长江沿岸地区和长江口周边地区。这些地区由于重化工业密集,面临较大的生态压力,迫切需要制定相应的生态管理和修复对策。
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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